33 results about "Multi user interference" patented technology

The invention discloses an unmanned aerial vehicle relay route planning method based on photoelectric hybrid switching. The method comprises the following steps: establishing a free space optical channel model, and focusing a flicker effect caused by turbulence and attenuation caused by weather; when a radio frequency channel model is constructed, line-of-sight and non-line-of-sight large-scale fading are fused, and downlink multi-user interference is quantized; establishing a hybrid obstacle model based on a Ray-AABB algorithm, fusing ground static and air dynamic obstacles, and determining a sight distance connection feasible position set; a boundary reflection type random walk model is adopted to describe user movement, and a speed and direction two-parameter updating mechanism and a boundary elastic collision rule are defined; the user throughput is dynamically optimized in combination with fractional order power distribution and non-orthogonal multiple access technologies; a deep reinforcement learning framework is provided, and a three-dimensional track, photoelectric switching and resource allocation are jointly optimized by using a dual deep Q network. According to the invention, the challenge of a low-altitude spectrum rejection environment can be effectively handled, and the robustness and adaptive capacity of the system are ensured.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The disclosure provides a method and a device for filtering-based channel estimation. A method comprises configuring a filter design with a stopband region between at least two bandpass regions in a time domain associated with channel behavior, suppressing, via the filter design, multi-user interference (MUI) or orthogonal cover code (OCC) interference in the time domain, and providing frequency domain-based channel estimation (CE) based on the filter design.

A method and device for filtering-based channel estimation. A method comprises configuring a filter design with a stopband region between at least two bandpass regions in a time domain associated with channel behavior, suppressing, via the filter design, multi-user interference (MUI) or orthogonal cover code (OCC) interference in the time domain, and providing frequency domain-based channel estimation (CE) based on the filter design.

The invention relates to a dual dynamic optimization multi-user detection method based on SCMA in an uplink NOMA system, and belongs to the technical field of wireless communication. According to the method, the technical problems of insufficient multi-user interference suppression caused by codebook cross correlation enhancement in a high overload scene, poor convergence stability of a traditional detection algorithm and error code propagation caused by a hard decision mechanism are solved. The scheme of the invention comprises the following steps of: generating a dynamic codebook: constructing a low-mutual-interference codebook through resource load balancing and complex field amplitude phase joint optimization; dual confidence interference elimination: fusing user-level weight and symbol-level weight to dynamically adjust elimination intensity; according to the cross-layer iteration mechanism, soft information closed-loop feedback is achieved in combination with interference suppression merging equalization and hierarchical decoding; and dynamic damping updating: adaptively adjusting the soft information feedback intensity based on the signal-to-noise ratio to suppress oscillation. The method has the beneficial effects that the multi-user interference suppression capability is improved in a breakthrough manner, the interference elimination precision is revolutionarily optimized, and the system keeps ultrahigh reliability in a severe environment with a low signal-to-noise ratio.

The invention relates to an intelligent metasurface-assisted near field communication sensing integrated beam forming method, and belongs to the technical field of communication. The method comprises the following steps: firstly, establishing a communication and perception integrated system framework, then establishing a communication model according to the reachable rate of a system under the factors of multi-user interference and perception signal interference in a near-field communication system, then establishing a near-field perception channel containing distance information and angle information, deriving a Cramer-Rao bound of a perception target, and establishing a perception model; establishing an optimization problem which takes the minimum communication sum rate and the maximum transmitting power as constraints and takes the minimum Cramer-Rao lower bound as a target; the method comprises the steps of converting an objective function into an augmented Lagrange problem through a PDD framework, dividing an optimization variable into two blocks to obtain two sub-problems, calling a BCD algorithm to iteratively update the two sub-problems, and finally solving to obtain a beam forming scheme. According to the method, the sensing performance is remarkably improved, and the stability and high efficiency of the communication performance are ensured.

The invention discloses an OAM vortex communication system device and method of a silicon-based photon integrated micro-ring resonator array, and belongs to the technical field of wireless communication of the Internet of Things. The system comprises a silicon-based photon integrated micro-ring resonator array, and ultra-compact OAM beam generation is realized through thermo-optical tuning; according to the lightweight channel compensation architecture, a dual-branch DNN model is combined with NV color center quantum sensing to realize phase noise real-time calibration; and dynamic regulation and control of a heterogeneous multi-user access mechanism and fusion AI drive. The method solves the problems of beam divergence, channel time-varying sensitivity and multi-user interference of a traditional OAM technology in an Internet of Things scene, the mode purity under the millimeter wave (28GHz) frequency band reaches 99% or above, and the method is suitable for intensive Internet of Things scenes such as industry 4.0, automatic driving and intelligent agriculture.

Disclosed is a method and system for interference control and hybrid beamforming using multi-agent deep reinforcement learning for multiple users. The disclosed method includes performing multi-agent reinforcement learning using interference and antenna gain information that is expected based on a gain table designed using channel state information (CSI) of all user equipments; searching for an analog beamforming matrix pair corresponding to a link that maximizes antenna gain and minimizes interference between user equipments through multi-agent reinforcement learning; applying a signal-to-leakage plus noise ratio (SLNR) maximization technique that minimizes the interference between the user equipments based on the link; and optimizing transmission (Tx) power for each link based on iterative water-filling.

One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE). A method of channel estimation includes: receiving, at a first electronic device, a signal from a second electronic device on a channel, the received signal modified by a noise, the channel associated with a channel matrix; obtaining a noisy channel based on the received signal and a least squares estimate of the channel matrix; preprocessing the noisy channel to remove at least one of a timing offset, a multiuser interference, or an intercell interference; inputting the preprocessed noisy channel to a CE model trained to perform CE based on the preprocessed noisy channel, the CE model comprising residual learning networks; and estimating the channel matrix based on denoising of the preprocessed noisy channel.

The invention provides a communication method, user equipment and transmitting / receiving point equipment, and relates to the field of wireless communication. The target user equipment receives indication information sent by one of the multiple transmitting / receiving point equipment, the indication information comprises scheduling information of user equipment which is scheduled jointly on part of or all the transmitting / receiving point equipment of the multiple transmitting / receiving point equipment, and interference processing is carried out according to the indication information. Therefore, in the MU-MIMO system in the Multi-TRP scene, the transmitting / receiving point equipment indicates the multi-user interference information suffered by the user equipment, and the user equipment can better understand the user interference condition on each transmitting / receiving point equipment, so that effective measures are adopted to carry out interference processing, the multi-user interference is reduced to the greatest extent, and the network service quality is improved.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The disclosure provides a method and a device for filtering-based channel estimation. A method comprises configuring a filter design with a stopband region between at least two bandpass regions in a time domain associated with channel behavior, suppressing, via the filter design, multi-user interference (MUI) or orthogonal cover code (OCC) interference in the time domain, and providing frequency domain-based channel estimation (CE) based on the filter design.

This invention belongs to the field of 6G communication technology, specifically relating to an optimization method for a RIS-assisted sensing integrated system based on RSMA. The method includes constructing an RSMA-based RIS-assisted sensing integrated system; under non-negative constraints, constructing a resource optimization problem model with the goal of maximizing system users and speed; decomposing the resource optimization problem model into two sub-problems, and solving them alternately through iteration to obtain an optimized solution. This invention has significant advantages in multi-user interference management, and can improve system communication performance while ensuring system sensing performance.

The invention discloses a method for testing and verifying an uplink subsystem based on a multi-antenna environment, which relates to the technical field of wireless communication and comprises the following steps: measuring phase noise by using a high-precision analyzer, acquiring an MIMO channel matrix by using field equipment, estimating a channel state based on a minimum mean square error, eliminating multi-user interference by using zero-forcing detection, and verifying the uplink subsystem based on the zero-forcing detection. A non-ideal channel is pre-coded and optimized by using a codebook, an error, an error rate and gain change are graphically displayed, and a simulation curve assists in optimizing uplink configuration. According to the invention, the test verification precision and efficiency of an uplink subsystem in a multi-antenna environment are effectively improved, and accurate estimation of a channel state and effective suppression of multi-user interference are realized by finely processing phase noise and MIMO channel information. The system performance is visually presented through graphical display and simulation curve assistance, the problem can be rapidly positioned, uplink configuration is optimized, and further development of the wireless communication technology is promoted.

This invention belongs to the field of wireless communication technology, specifically relating to a joint optimization method for a rotating antenna system with polarization reconfiguration capability. This invention introduces two additional degrees of freedom—three-dimensional mechanical rotation and polarization reconfigurability—at the base station end, and endows the antenna with polarization reconfigurability at the user end, constructing a "space-polarization" joint optimization mechanism to achieve precise matching between beam pointing and transmit / receive polarization states. Under this mechanism, the system can effectively eliminate polarization mismatch losses caused by antenna rotation and channel scattering in complex multipath and multi-user interference environments, thereby significantly reducing base station transmit power and comprehensively improving the system's energy efficiency while ensuring communication quality for all users.

This invention relates to a high-efficiency beamforming precoder design method for RSMA-assisted NF-ISAC systems, belonging to the field of near-field communication and sensing integration technology. It includes constructing an RSMA-assisted integrated communication and sensing system model within the near-field range, establishing a joint optimization problem for beamforming precoder design, communication, and sensing resource allocation with the goal of maximizing system energy efficiency, and iteratively solving the reconstructed problem using Dinkelbach's algorithm and SCA algorithm to obtain the optimal system energy efficiency. This invention effectively suppresses multi-user interference and introduces additional degrees of freedom, significantly improving system performance and maximizing the energy efficiency of NF-ISAC systems under normal conditions. It also rigorously guarantees the QoS performance of communication users and the sensing and detection capabilities of radar targets within the system, providing a new technical solution for energy efficiency optimization of NF-ISAC systems, future green and sustainable communication systems, and robust transmission design.

One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

According to the communication resource allocation method and device based on intelligent reflecting surface-user association, in a multi-intelligent reflecting surface and multi-user communication scene, an intelligent reflecting surface-user association allocation matrix is introduced, the matching relation between intelligent reflecting surfaces and users is accurately controlled, the resource utilization rate is maximized, and the user experience is improved. Meanwhile, the influence of multi-user interference in the system is greatly reduced, and reliable support is provided for improving the overall communication performance; according to the intelligent reflecting surface-user joint parameter design method based on the maximum sum rate criterion and the minimum user signal to interference plus noise ratio constraint, a brand new intelligent reflecting surface-user incidence matrix is optimized, and meanwhile, the phase shift of a reflecting unit of the intelligent reflecting surface is adjusted to improve the signal propagation direction; and the transmitting beam forming vector is optimized to enhance the signal gain of the target user, so that the performance of the communication system is comprehensively improved, and the method is particularly suitable for complex scenes of multiple users and large-scale intelligent reflecting surfaces.

The invention discloses an interference-assisted multi-user covert communication beam forming design method, and belongs to the technical field of wireless communication information security. The implementation method comprises the following steps: constructing a multi-user covert communication transmission system; the multi-user covert communication transmission system comprises a base station, K legal users and an eavesdropper Willie. The covert communication performance is realized in a multi-user scene, and the influence of multi-user interference is considered; an interference signal power randomization mechanism is introduced, and a quantile transmission rate concept is combined, so that the detection capability of an eavesdropper is effectively weakened, and the concealment and robustness of the system are improved; based on the optimization theory, the interference-assisted multi-user covert communication beam forming design is modeled as a maximum and minimum fairness problem, and the fairness among all legal users can be guaranteed while the concealment requirement is met; and the beam forming vectors of the confidential signals and the interference signals are jointly designed, so that the optimal distribution and balance between the interference power and the transmission power are realized.

This invention discloses a UAV relay trajectory planning method based on hybrid optoelectronic switching, comprising: establishing a free-space optical channel model, focusing on turbulence-induced scintillation and weather-induced attenuation; fusing line-of-sight and non-line-of-sight large-scale fading when constructing the radio frequency channel model, and quantifying downlink multi-user interference; establishing a hybrid obstacle model based on the Ray-AABB algorithm, fusing static ground obstacles and dynamic aerial obstacles, and determining the feasible location set for line-of-sight connections; using a boundary reflection random walk model to describe user movement, defining a dual-parameter update mechanism for velocity and direction and a boundary elastic collision rule; dynamically optimizing user throughput by combining fractional-order power allocation and non-orthogonal multiple access technology; and proposing a deep reinforcement learning framework, using dual deep Q-networks to jointly optimize 3D trajectories, optoelectronic switching, and resource allocation. This invention can effectively address the challenges of low-altitude spectrum denial environments, ensuring the robustness and adaptability of the system.

Systems and methods a system for generating Low-Density Parity-Check (LDPC) code for enabling multiple simultaneous users in Asynchronous Scrambled Coded Multiple Access (ASCMA). The system includes transmitter node with source endpoints, each equipped with an encoder unit generating LDPC codeword bits from information bits. An encoder aggregates LDPC codeword bits with replicated information bits to create an aggregated sequence. A modulator unit modulates the sequence into a waveform for transmission over a shared spectrum access channel. The transmitted waveform is asynchronously sent to a receiver node, which includes a gateway linked to destination endpoints. The receiver unit captures a noise-corrupted version of the waveform, and a decoder unit, using soft-input and soft-output techniques, decodes information bits. A Multi-User Interference (MUI) estimator cancels interference levels, allowing the decoder to recover the original information bits associated with the source endpoints.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to a 5th generation (5G) or pre-5G communication system for supporting a higher data transmission rate after a 4th generation (4G) communication system such as long-term evolution (LTE). A method of operating a base station according to various embodiments of the present disclosure may include: receiving channel information from at least one terminal, obtaining channel interference information based on the channel information, obtaining a precoder based on the channel interference information, and transmitting a transmit signal to the at least one terminal based on the precoder, the channel interference information may include timing alignment error (TAE) interference and multi-user interference, and the TAE interference may be determined based on a number of first radio access technology (RAT) symbols and a number of second RAT symbols allocated to the transmit signal.

A method, system and apparatus are disclosed. A system including at least one wireless device and a network node configured to communicate with the at least one wireless device is provided. The network node includes an antenna array including a plurality of antennas. The network node is configured to determine at least one precoding matrix based on a Douglas-Rachford splitting convex optimization model between a per-antenna power constraint and a Multi-User Interference (MUI) requirement for evening the output power of the plurality of antennas of the antenna array. The network node is configured to cause transmission to the at least one wireless device using the antenna array based at least in part on the at least one precoding matrix.

The present invention discloses a method for suppressing multi-user interference in FCrSK based on phase assistance. Under the premise of the folded Chirp in-band frequency division multiple access technology, in order to overcome the problem of inter-user spectrum interference occurring in the process of multi-access implementation, the present invention is proposed. By adding an auxiliary phase to each user, the energy superposition value at the decision point of the target user is maximized, which can improve the signal-to-interference ratio. The auxiliary phase is obtained by offline calculation, which aims to maximize the minimum value of all user decision points, and performs an auxiliary phase search to obtain the optimal auxiliary phase. This method introduces the optimal auxiliary phase into the transmit waveform module, and selects different auxiliary phases according to the user modulation symbols to optimize the transmit waveform (the modulation symbols of all users are completely known at the base station end of the downlink). This method can effectively reduce multi-access interference and improve the concurrent user access ability at the same time.

This invention discloses an intelligent cooperative spatial modulation method and system based on GNN-MARL, mainly addressing the antenna resource competition and energy efficiency issues in multi-user spatial modulation systems. The method includes: first, establishing a multi-user interference graph model to abstract the interference relationships between users into a graph structure; second, using a graph attention network for feature extraction and message passing to update the environmental awareness embedding; then, employing multi-agent reinforcement learning, where each user agent independently selects distributed antennas based on local embedding; subsequently, combining Polar code channel coding and CCDM probabilistic shaping techniques to spatially modulate and map information bits for transmission; and finally, performing joint detection and decoding of the signal at the receiving end. This invention not only effectively reduces the large-scale computational complexity of the system but also significantly reduces the antenna collision rate and average transmit power, greatly improving system throughput. For example, in an 8-user scenario, it controls the collision rate to 19.6% and achieves a power saving of 32.8%, providing an efficient and practical innovative solution for intelligent network distributed resource management.

The present invention belongs to the field of quantum communication technology, specifically a sparse quantum coherent state multi-user communication system based on partition detection. The present invention includes a transmitting end and a transmitting end; the transmitting end includes a channel coding module, a signal interleaving module, a sparse mapping module and a coherent state modulation module; the receiving end includes a partition detection quantum receiving module and a multi-user decoding module; the present invention sets a switch at the transmitting end to realize sparse processing of multi-user transmitted signals, which can reduce multi-user interference and improve the quality of the communication system; a partition detection quantum receiver is used at the receiving end, and a multi-user soft detection decoding algorithm is designed in combination with iterative interference elimination; the receiving end updates the local oscillator field signal in the next partition according to the measurement results of the current partition, thereby improving the detection and decoding accuracy; the system of the present invention has strong resistance to multi-user interference, fast system convergence speed, and good robustness.

The invention provides an optimization method and device for an integrated perception and communication system, relates to the technical field of communication, and is used for carrying out joint optimization on a signal to interference plus noise ratio and multi-user interference. The method comprises the following steps in each round of optimization iteration for an integrated perception and communication system comprising N reconfigurable intelligent surfaces: taking maximization of a perception signal to interference plus noise ratio and minimization of communication multi-user interference as a joint optimization objective function, and fixing phase shifts of the N reconfigurable intelligent surfaces, optimizing the transmitted waveform to obtain an optimized waveform of the current round; and according to the optimization sequence of the N reconfigurable intelligent surfaces, taking minimization of communication multi-user interference as an optimization objective function, fixing the optimization waveform of the current round and the optimization phase shifts of other reconfigurable intelligent surfaces, and optimizing the phase shift of each reconfigurable intelligent surface in sequence to obtain the optimization phase shift of each reconfigurable intelligent surface of the current round.

The present invention discloses an interference processing method based on intelligent reflecting surface assisted multi-cell heterogeneous network, including: constructing a resource optimization problem with the transmission power of macro / micro base stations as the objective; setting the initial precoding matrix of macro / micro base stations and the initial reflection coefficient of the intelligent reflecting surface; given the reflection coefficient of the current iteration, the macro base station obtains the Lagrange multiplier set by solving the dual problem of the problem and combines the channel state information obtained by the Lagrange multiplier set and the modulation symbols to be sent, and designs the precoding matrix according to the symbol-level precoding criterion; the macro base station decomposes the precoding matrix of the micro base station into a phase part and a power part; in this iteration, given the precoding matrix of macro / micro base stations, the macro base station calculates the received signal quality and cross-layer interference expression converted by macro / micro devices according to the symbol-level precoding criterion with respect to the reflection coefficient, and then obtains the reflection coefficient of the intelligent reflecting surface. This application can effectively utilize multi-user interference and cross-layer interference in heterogeneous networks.

The application discloses a high-low speed multi-user access method and system based on cross-domain in an OTFS system, and relates to the technical field of wireless communication, which comprises the following steps: an OFDM sending end carries out first preprocessing on information symbols, and maps the information symbols to a time-delay-Doppler domain and allocates the information symbols to different users; a time-frequency domain conversion scheme is constructed based on the first preprocessing, and multi-user signals are converted from the time-delay-Doppler domain to the time-frequency domain to obtain a time-frequency domain composite signal; an OFDM receiving end receives the time-frequency domain composite signal, recovers the multi-user signals through time-frequency domain demodulation, carries out one-time detection on time-delay-Doppler domain signals of a low-speed sending end to obtain a low-speed signal detection result, carries out two-time detection on the low-speed signal detection result to obtain high-low speed sending end signals, and recovers the high-low speed sending end signals to the time-delay-Doppler domain. The application can effectively avoid multi-user interference, thereby improving the spectral efficiency, and can improve the decoding accuracy of the system according to the processing conditions of a base station on a received complex signal in reality.

This application provides a signal processing method, apparatus, electronic device, and storage medium. The method includes: determining a signal to be processed for a current symbol, wherein the signal to be processed is a superimposed signal under multi-user multiplexing; performing modulation and coding scheme (MCS) detection on the signal to be processed to obtain a target modulation order for multi-user interference; performing demodulation processing on the signal to be processed according to the target modulation order to obtain usable signal components; and calculating the log-likelihood ratio (LLR) on the usable signal components to obtain an LLR result, wherein the LLR result is used to determine the original data corresponding to the signal to be processed. This approach decouples MCS detection and LLR calculation, filters usable signal components, and performs subsequent processing only on the usable signal components, avoiding calculations on the entire signal to be processed, thereby reducing redundant calculations and lowering the power consumption of signal processing.

The invention discloses an FSO / RF hybrid communication method based on Doppler compensation and interference suppression, and belongs to the technical field of satellite communication. The method comprises the following steps: S1, constructing a satellite-ground transmission link topology; s2, establishing an FSO link loss model; s3, establishing a directional error geometric loss statistical model; s4, establishing an RF link loss model; s5, FSO link Doppler frequency shift compensation is carried out; and S6, performing RF link multi-user interference compensation. According to the method, a received signal is converted from a time-frequency domain to a Doppler domain, and frequency deviation of an FSO link is compensated through DDT; and the RF link user interference is further reduced by adopting EM clustering, hybrid precoding, SIC and other signal processing technologies. The whole scheme of the invention has good engineering feasibility, can be flexibly deployed between the HAP and the ground gateway station, supports link adaptive scheduling and signal processing in a high-speed dynamic environment, and significantly improves the communication efficiency and robustness of a satellite-ground hybrid link system.